Study extends Kuramoto model to study gamma rhythm in heterogeneous oscillators, suggesting new monitoring methods.
This paper extends the classical Kuramoto model of coupled oscillators to systems composed of heterogeneous components---oscillators that differ fundamentally in their intrinsic frequencies, internal dynamics, and mutual couplings. We take the neuronas a paradigmatic toy model, treating its internal components (mitochondria, ion channels, ribosomes, lysosomes) as a collective of diverse oscillators whose synchronisation produces the characteristic 40\,Hz gamma rhythm as an emergent property. This framework provides a mechanistic bridge between subcellular dynamics and multilevel coherence, showing how perturbations at the organelle level propagate across scales to produce the network-wide collapse observed in neurodegeneration. We embed this extended Kuramoto model within a unified conceptual framework---topological, oscillatory, and evolutionary---that integrates tools from Gradient Indeterminacy (I-G), the Drain Vortex Principle, and the Underlying Properties Hypothesis (UPH). We derive falsifiable predictions regarding distinct spectral signatures of organelle-specific insults and propose connectionsto personalised coherence monitoring via the Personal Coherence Baseline (PCB) magnitude.
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Daniel Avilés Hurtado (2026) studied this question.
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